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ABSTRACT: Background
Programmed cell death (PCD) genes play crucial roles in cancer progression and response to therapies, yet their impact on gastric cancer remains inadequately elucidated. This study aimed to create a prognostic cell death signature (PCDs) for gastric cancer, providing insights into potential therapeutic targets and survival predictors.Methods
We utilized TCGA-STAD and five GEO datasets, representing thousands of gastric cancer samples, for a comprehensive analysis of PCD genes. Differential gene expression, functional enrichment, survival, and machine learning analyses were conducted to construct a PCD-based prognostic model.Results
A total of 249 differentially expressed PCD genes were identified between cancerous and noncancerous gastric tissues. Subsequ
SUBMITTER: Wang M
PROVIDER: S-EPMC12212409 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature